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2 дня назад

Data Domain Engineering Director (Data Mesh)

Формат работы
remote (только Hungary)
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Domain Engineering Director (Data Mesh): Leading the design, delivery, and operation of scalable domain data products on a unified cloud data platform with an accent on data ingestion, pipelines, transformations, APIs, and governance. Focus on ensuring operational reliability, driving interoperability across domains, and developing high-performing data engineering and data product teams.

Location: Budapest, Hungary; remote work is available only within Hungary due to European taxation regulation.

Company

hirify.global is a Deutsche Telekom Group subsidiary providing IT and telecommunications services to large corporate customers across Germany and other European countries.

What you will do

  • Own the full lifecycle of domain data products, from design and development through operationalization, evolution, and retirement.
  • Lead technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes.
  • Define and enforce domain-level standards for governance, interoperability, quality, documentation, metadata, and reuse.
  • Ensure operational reliability through service level objectives, monitoring, observability, and continuous improvement.
  • Partner with business domain owners and coordinate delivery with data platform, data foundation, and other domain engineering leaders.
  • Hire, coach, staff, and develop high-performing data engineering and data product teams while managing technical debt and architectural evolution.

Requirements

  • Strong expertise in data product architecture and domain-oriented data product design.
  • Proven experience building and operating scalable data products on modern cloud-based data platforms.
  • Deep understanding of data ingestion, pipelines, transformations, APIs, service level objectives, monitoring, and observability.
  • Strong understanding of data product management, including consumers, lifecycle, adoption, product value, and service levels.
  • Experience with federated data operating models, domain-based ownership, Data Mesh environments, interoperability, standardization, and cross-domain dependencies.
  • Proven leadership experience managing, staffing, developing, and coaching data engineering and data product teams.

Culture & Benefits

  • Strategic and hands-on role within Global Digital Engineering.
  • Direct collaboration with business domain owners and senior technical stakeholders.
  • Focus on accountability, quality, ownership, and continuous improvement.
  • Remote work is available only within Hungary because of European taxation regulations.

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